CN201629019U - Forest fire detecting system - Google Patents

Forest fire detecting system Download PDF

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Publication number
CN201629019U
CN201629019U CN2009202193304U CN200920219330U CN201629019U CN 201629019 U CN201629019 U CN 201629019U CN 2009202193304 U CN2009202193304 U CN 2009202193304U CN 200920219330 U CN200920219330 U CN 200920219330U CN 201629019 U CN201629019 U CN 201629019U
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fire
forest
visible light
forest fire
light camera
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CN2009202193304U
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Chinese (zh)
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万滨
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青岛科恩锐通信息技术有限公司
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Publication of CN201629019U publication Critical patent/CN201629019U/en

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    • Y02A40/298

Abstract

A forest fire detecting system comprises forest area monitoring points including a heavy-duty data cradle head 1, an infrared thermal imaging instrument 2, a visible light camera 3, a micro weather station 4, an embedded video processing device 5 and a communication network bridge 6, and a command control center including a remote monitoring computer 7 and a communication network bridge 8. The two communication network bridges are bidirectionally communicated through a microwave wireless TCP/IP network. A fire detecting work is smoothly carried out according to 1 site data acquisition, 2 image data treatment, 3 fire recognition analysis, 4 recognized result transmission, 5 fire probability assessment and 6 fire automatic early warning. The forest fire detecting system combines video compression with decompression technology, infrared image recognition analysis technology, visible color image recognition analysis technology, embedded technology, wireless communication technology, remote sensing technology, and three-dimensional geography information system technology, automatically recognizes forest fire and analyzes fire extinguishing strategies, has high probability of finding forest fire, low rate of false alarm and no need of personal participation, and has the advantages of high timeliness, high reliability, advanced technical strategies and wide market prospect.

Description

A kind of forest fire detection system

Technical field

The utility model belongs to security against fire detection technique field, is specifically related to a kind of forest fire detection system.

Background technology

Forest fire is one of global important disaster of forestry, the annual heavy losses and the environmental pollution on a large scale that all can cause forest resourceies.Ren Gong lookout, monitoring remote video and satellite remote sensing mode are mainly adopted in traditional forest fire protection monitoring.

Ren Gong lookout mode is in She Li lookout post, commanding elevation, and the operator on duty took turns at keeping watch in 24 hours, because artificial carelessness and fault can make many condition of a fire fail to find early, incurs loss through delay and puts out the fire the time, causes serious consequence.

The monitoring remote video mode is to build a large amount of video monitoring points in the forest zone, and the control point is equipped with video camera, by wired or wireless network real-time pictures is sent to Surveillance center, is monitored by the center personnel.This mode does not need directly to accredit personnel to the scene, forest zone, but manually is difficult to the early stage condition of a fire of identification on remote.Especially the visible light camera supervisory system at night, does not almost have the illumination of detectable spectral range, almost is very dark on the video image, is difficult to find and judge forest fires.The compare advantage of visible light camera supervisory system of thermal infrared video monitoring system is, adopted the camera system of thermal infrared spectrum, is visible images with the image transitions of 7.5 to 13.5 microns of thermal infrared spectrums.Because all objects that surpass absolute zero all backscatter go out infrared spectrum, temperature is high more, the infrared spectrum that scatters is strong more, so, in thermal infrared imaging gray-scale displayed image, therefore the intensity of brightness of object on image is directly proportional with the temperature of object, by watching on the image the high point of brightness can judge risk of forest fire.Simultaneously, thermal infrared imaging is not limited by daytime, and daytime and evening can be judged risk of forest fire accurately.But thermal infrared video monitoring system and unresolved visible light camera supervisory system need the artificial shortcoming that participates in, and still need manually to judge risk of forest fire by naked eyes, and both all can not grasp by efficient real time the very important meteorologic parameter of fire probability of happening.

The satellite remote sensing mode is by finding forest fires after the processing to the remote sensing photo, but satellite can only be found the forest fires in big zone, can't find in early days at fire.

In recent years, because the development of forest fire Detection Techniques lags behind, forest fire happens occasionally, and economic loss is huge unusually.That the security against fire work in current forest zone is badly in need of is real-time, uninterrupted effective monitoring in 24 hours, do not rely on artificial participation judgement, forest fires probability of detection height, rate of false alarm is low, means are advanced forest fire protection method for supervising and system.

Summary of the invention

The purpose of this utility model provides a kind of novel forest fire detection system, in the hope of finding suspicious burning things which may cause a fire disaster expeditiously, calculates the fire alarm probability automatically, accurately judges the generation of fire and warning in time.

The utility model is constituted by control point, a plurality of forest zone and command and control center, and the control point, forest zone is arranged on the monitoring iron tower, is connected with communication network between each control point, forest zone and the command and control center.

Control point, described forest zone comprises heavily loaded digital The Cloud Terrace, thermal infrared imager, visible light camera, miniature weather station, embedded video treatment facility, communication bridge; Thermal infrared imager, visible light camera, miniature weather station, embedded video treatment facility, communication bridge are separately positioned on the heavily loaded digital The Cloud Terrace, the corresponding respectively signal input part that is connected the embedded video treatment facility of the signal output part of thermal infrared imager, visible light camera and miniature weather station, the signal I/O end of the heavily loaded digital The Cloud Terrace and the bridge of communicating by letter is corresponding respectively to be communicated with the signal output/input end of video processing equipment; Described command and control center comprises computing machine, communication bridge; The signal I/O end of communication bridge is corresponding respectively to be communicated with the signal output/input end of computing machine, diconnected between the two communication bridges.

The thermal infrared imager of this system is provided with infrared fixed focus lens, and visible light camera is provided with focal length, focusing, the controlled visible light camera lens of aperture, and heavily loaded digital The Cloud Terrace is provided with protective cover; Comprise CPU (central processing unit), video acquisition compression module, weather information collection compression module, cradle head control module, numerical information passback module, numerical information receiver module in the embedded video treatment facility, can receive CVBC (compound TV) simulating signal of two-way PAL/NTSC system, and be digital signal through conversion of signals; Also be provided with fire monitoring software and Geographic Information System in the remote monitoring computing machine.

The utility model is such forest fire detecting: at first with the weighting threshold value infrared image of thermal infrared imager collection in worksite is discerned, image to the visible light camera collection in worksite carries out pyrotechnics sampling identification simultaneously, in conjunction with the result of twice identification and the weather data of miniature weather station collection in worksite, determine the generation of fire and send early warning signal automatically then with double threshold; Its actual workflow comprise 1. on-site data gathering, 2. view data handle, 3. fire discriminance analysis, 4. recognition result transmission, 5. fire probability assessment, 6. fire automatic early-warning six big steps, be connected to precedence relationship between each step successively.

The concrete action of six big steps is as described below:

1. on-site data gathering---at first the thermal infrared imager by the control point and visible light camera and miniature weather station are gathered realtime graphic and weather data respectively, and its output signal is input in the embedded video treatment facility, then by the CPU of embedded video treatment facility with thermography picture and visible images one two field picture and one group of weather data of grasping, the preservation data stream is to the predefine array.

2. view data is handled--and the CPU of-embedded processing equipment operates visible images more earlier to the graphic images operation.When graphic images is operated, earlier in conjunction with the weather data of importing, adjust the two field picture overall brightness, calculate suitable original threshold value, calculate general image weighted mean brightness value then, the method of weighting is to not surpassing the picture element of original threshold luminance, brightness value equals this picture element brightness value during summation, to surpassing the picture element of original threshold luminance, brightness value becomes 2.2 powers after brightness value subtracts original threshold value during summation, summed result is true threshold value, again image is carried out binary conversion treatment, returns 0 to handle to the picture element that is lower than true threshold value, return 1 to handle to the picture element that is higher than true threshold value, and then be that 1 point merges to value adjacent in the image, tell a plurality of zones after the merging, these zones promptly are possible fire areas; When visible images is operated, use the canny algorithm after improving that image is carried out rim detection earlier, carry out the zone that image segmentation obtains existing pyrotechnics again, image data stream is kept in the predefine array, then in conjunction with the higher zone of real image mark normal temperature.

Wherein, the computing formula to graphic images operation be " weighting brightness and=∑ [n 〉=0 and n<picture element number and light (n)<threshold value] light (n)+∑ [n 〉=0 and n<picture element number and light (n)>threshold value] (light (n)-threshold value) 2.2"; To visible images operation employed " improving back canny algorithm ", non-non-maximum inhibition is used in amplitude, (4) that comprise (1) gaussian filtering, (2) calculated direction derivative, (3) compute gradient, (5) are used Hystersis and found five calculation procedures in all borders, is connected to precedence relationship between each calculation procedure successively.

3. the fire discriminance analysis--the CPU of-embedded processing equipment compares thermal imaging possibility fire area and visible images, ignore the higher zone of normal temperature, report to the police improper zone and calculate the alarm region area ratio is then according to number percent report condition of a fire possibility coefficient.

The CPU of 4. recognition result transmission---embedded processing equipment earlier with H.264 or the MPEG4 video compression algorithm two-path video image is compressed, with weather information, condition of a fire warning message, geographical location information, image information packing TCP/IP bag, be sent to the computing machine of command and control center then by wired or wireless network system; Again by this computing machine in conjunction with its Geographic Information System, information such as unified interface display video, meteorology, warning realize unified platform supervisory system.

5. fire probability assessment---earlier by the computing machine of command and control center by the packet decompress(ion) that receives and show infrared and visible light video image, receive condition of a fire recognition result; Left rotation and right rotation then about the heavily loaded digital The Cloud Terrace of this computing machine by network transmitting control commands control control point,, shooting angle to thermal infrared imager and visible light camera is carried out the Long-distance Control adjustment, weather information database during again according to a large amount of breaking out of fire of collecting in the past, and read the real-time weather information sent by network the control point fire probability of happening is assessed auto judge with fire size class automatically.

6. fire the automatic early-warning---current visual field of heavily loaded digital The Cloud Terrace of beaming back according to the control point earlier vertical, the transverse axis angle, longitude and latitude and height in conjunction with place, fixed position, control point, forest zone, in the three-dimensional geographic information system, calculate the specified place that this fire takes place by three-dimensional science, at middle structure three-dimensional scenic, by analyzing this fire flame proof passageway on every side, the fire-blocking belt, forest zone stigma information, forest form information, water system, corrected Calculation fire probability of happening such as hillside steepness, then according to the value of fire probability of happening, judge whether to have taken place fire, if then report to the police automatically and start multichannel and record a video.

The utility model combines video compress decompression technique, thermal infrared images discriminance analysis technology, visible light coloured image discriminance analysis technology, embedded technology, wireless communication technology, remote sensing technology, three-dimensional geographic information systems technology, automatically the identification forest fire is also analyzed the fire extinguishing strategy, method and system forest fires probability of detection height, the rate of false alarm that the utility model provides be low, need not artificial participation, has the advantages that promptness is strong, reliability is high, technological means is advanced, market outlook are wide.

Description of drawings

Fig. 1 is the hardware system structure synoptic diagram of the utility model embodiment

Fig. 2 is the principle of work FB(flow block) of the utility model embodiment

Mark among the figure:

1. heavily loaded digital The Cloud Terrace 2. thermal infrared imagers 3. visible light cameras 4. miniature weather station 5. embedded video treatment facilities, 6. communication bridges, 7. remote monitoring computing machines, 8. communication bridges, 9. infrared fixed focus lens 10. 3 variable visible light camera lenses

Embodiment

Embodiment of the present utility model selects for use control point, a forest zone and command and control center to constitute the forest fire detection system of minimum of topological structure.This control point, forest zone is arranged on the monitoring iron tower, adopts the microwave communication network to be communicated with between control point and the command and control center.Below in conjunction with accompanying drawing the utility model embodiment is specifically described:

With reference to the accompanying drawings 1, control point, described forest zone comprises heavily loaded digital The Cloud Terrace 1, thermal infrared imager 2, visible light camera 3, miniature weather station 4, embedded video treatment facility 5, communication bridge 6; Thermal infrared imager 2, visible light camera 3, miniature weather station 4, embedded video treatment facility 5, communication bridge 6 are separately positioned on the heavily loaded digital The Cloud Terrace 1, the corresponding respectively signal input part that is connected embedded video treatment facility 5 of the signal output part of thermal infrared imager 2, visible light camera 3 and miniature weather station 4, the signal I/O end of the heavily loaded digital The Cloud Terrace 1 and the bridge 6 of communicating by letter is corresponding respectively to be communicated with the signal output/input end of video processing equipment 5.

Described command and control center comprises remote monitoring computing machine 7, communication bridge 8; The signal I/O end of communication bridge 8 is corresponding respectively to be communicated with the signal output/input end of remote monitoring computing machine 7, is communicated with by microwave wireless Tcp/IP network bi-directional between the two communication bridges.

Comprise CPU (central processing unit), video acquisition compression module, weather information collection compression module, cradle head control module, numerical information passback module, numerical information receiver module in the described embedded video treatment facility 5, can receive CVBC (compound TV) simulating signal of two-way PAL/NTSC system, and be digital signal through conversion of signals; Also be provided with fire monitoring software and Geographic Information System 3D-GIS in the remote monitoring computing machine 7.

With reference to the accompanying drawings 2, the utility model embodiment is such forest fire detecting: at first with the weighting threshold value infrared image of thermal infrared imager 2 collection in worksite is discerned, image to visible light camera 3 collection in worksite carries out pyrotechnics sampling identification simultaneously, in conjunction with the result of twice identification and the weather data of miniature weather station 4 collection in worksite, determine the generation of fire and send early warning signal automatically then with double threshold; Its actual workflow comprise 1. on-site data gathering, 2. view data handle, 3. fire discriminance analysis, 4. recognition result transmission, 5. fire probability assessment, 6. fire automatic early-warning six big steps, be connected to precedence relationship between each step successively.

The concrete action of six big steps is as described below:

1. on-site data gathering---at first gather realtime graphic and weather data respectively with visible light camera 3 and miniature weather station 4 by the thermal infrared imager 2 of control point, and its output signal is input in the embedded video treatment facility 5, then by the CPU of embedded video treatment facility 5 with thermography picture and visible images one two field picture and one group of weather data of grasping, the preservation data stream is to the predefine array.

2. view data is handled--and the CPU of-embedded processing equipment 5 operates visible images more earlier to the graphic images operation.When graphic images is operated, earlier in conjunction with the weather data of importing, adjust the two field picture overall brightness, calculate suitable original threshold value, calculate general image weighted mean brightness value then, the method of weighting is to not surpassing the picture element of original threshold luminance, brightness value equals this picture element brightness value during summation, to surpassing the picture element of original threshold luminance, brightness value becomes 2.2 powers after brightness value subtracts original threshold value during summation, summed result is true threshold value, again image is carried out binary conversion treatment, returns 0 to handle to the picture element that is lower than true threshold value, return 1 to handle to the picture element that is higher than true threshold value, and then be that 1 point merges to value adjacent in the image, tell a plurality of zones after the merging, these zones promptly are possible fire areas; When visible images is operated, use the canny algorithm after improving that image is carried out rim detection earlier, carry out the zone that image segmentation obtains existing pyrotechnics again, image data stream is kept in the predefine array, then in conjunction with the higher zone of real image mark normal temperature.

Wherein, the computing formula to graphic images operation be " weighting brightness and=∑ [n 〉=0 and n<picture element number and light (n)<threshold value] light (n)+∑ [n 〉=0 and n<picture element number and light (n)>threshold value] (light (n)-threshold value) 2.2"; To visible images operation employed " improving back canny algorithm ", non-non-maximum inhibition is used in amplitude, (4) that comprise (1) gaussian filtering, (2) calculated direction derivative, (3) compute gradient, (5) are used Hystersis and found five calculation procedures in all borders, is connected to precedence relationship between each calculation procedure successively.

3. the fire discriminance analysis--the CPU of-embedded processing equipment 5 compares thermal imaging possibility fire area and visible images, ignore the higher zone of normal temperature, report to the police improper zone and calculate the alarm region area ratio is then according to number percent report condition of a fire possibility coefficient.

The CPU of 4. recognition result transmission---embedded processing equipment 5 compresses the two-path video image with video compression algorithm H.264 earlier, with weather information, condition of a fire warning message, geographical location information, image information packing TCP/IP bag, be sent to the remote monitoring computing machine 7 of command and control center then by Radio Network System; Again by this computing machine in conjunction with its Geographic Information System, information such as unified interface display video, meteorology, warning realize unified platform supervisory system.

5. fire probability assessment---earlier by the remote monitoring computing machine 7 of command and control center by the packet decompress(ion) that receives and show infrared and visible light video image, receive condition of a fire recognition result; This computing machine is by the heavily loaded digital The Cloud Terrace of network transmitting control commands control control point about in the of 1, left rotation and right rotation then, shooting angle to thermal infrared imager 2 and visible light camera 3 is carried out the Long-distance Control adjustment, weather information database during again according to a large amount of breaking out of fire of collecting in the past, and read the real-time weather information sent by network the control point fire probability of happening is assessed auto judge with fire size class automatically.

6. fire the automatic early-warning---heavily loaded digital The Cloud Terrace 1 current visual field of beaming back according to the control point earlier vertical, the transverse axis angle, longitude and latitude and height in conjunction with place, fixed position, control point, forest zone, in the 3D-GIS of three-dimensional geographic information system, calculate the specified place that this fire takes place by three-dimensional science, in 3D-GIS, make up three-dimensional scenic, by analyzing this fire flame proof passageway on every side, the fire-blocking belt, forest zone stigma information, forest form information, water system, corrected Calculation fire probability of happening such as hillside steepness, then according to the value of fire probability of happening, judge whether to have taken place fire, if then report to the police automatically and start multichannel and record a video.

The hardware list that the utility model embodiment adopts is as follows:

The name of an article Specification of equipment Infrared sensor Non-refrigerated infrared focal plane probe, 324 * 256 pixels, spectral range: 7.5-13.5 micron focal-plane array (FPA), heat sensitivity<85mK at f/1.6. Infrared lens 150mm focuses apart from camera lens Visible light camera Pixel count 2,360,000 The visible light camera lens 22 times of focal length optical lens Meteorological sensor Main temperature, humidity, wind direction and wind velocity, air pressure, rainfall, radiation and the ultraviolet ray meteorological elements such as (PLUS types) of collecting.Technical indicator: temperature ± 0.5 ℃; Humidity ± 5%; Air pressure 1.7hPa; Rainfall 0.2mm (resolution); Wind ± 3%. The digital The Cloud Terrace of heavy duty Horizontally rotate angle 0 to 360 degree, the vertical anglec of rotation-75 is to+75 degree, horizontally rotates 0 to 10 degree/second of speed, vertical 0 to 8 degree/second of rotational speed, 0.01 degree/second of minimum rotational speed. The embedded video treatment facility Use the industrial control board of customization, CPU adopts the DaVinci platform MS320DM6467 chip of TI company, the C64+DSP kernel of integrated ARM9 and 600MHz, and ARM9 installs the Linux embedded OS, and DSP is responsible for H.264 compressed encoding of video. Wireless bridge Alvarion (Alvarion) company product, model: DS.11, bandwidth 11M.

[0040]The concrete technical indicator that the utility model embodiment has reached is as follows:

Condition 1: between burning things which may cause a fire disaster under the intervisibility situation and control point line, do not have object to intercept

Condition 2: atmospheric water content is below 85%

Condition 3: under non-rainfall, snowfall, the hail weather

Condition 4: around the control point in radius 5 kilometer range

Under the situation of the comburant perfect combustion of condition 5:1 cubic meter

Technical indicator 1: condition of a fire probability of detection is more than 70%

Technical indicator 2: around the control point radius 5 kilometer range with interior forest-covered area in 50% rate of false alarm when following below 50%; Around the control point radius 5 kilometer range with interior forest-covered area in 70% rate of false alarm when following more than 50% below 40%; Around the control point radius 5 kilometer range with interior forest-covered area in 70% rate of false alarm when above below 30%.

Claims (5)

1. forest fire detection system, this system is constituted by control point, a plurality of forest zone and command and control center, the control point, forest zone is arranged on the monitoring iron tower, be connected with communication network between control point, forest zone and the command and control center, it is characterized in that: control point, described forest zone comprises heavily loaded digital The Cloud Terrace (1), thermal infrared imager (2), visible light camera (3), miniature weather station (4), embedded video treatment facility (5), communication bridge (6); Thermal infrared imager (2), visible light camera (3), miniature weather station (4), embedded video treatment facility (5), communication bridge (6) are separately positioned on the heavily loaded digital The Cloud Terrace (1), the corresponding respectively signal input part that is connected embedded video treatment facility (5) of the signal output part of thermal infrared imager (2), visible light camera (3) and miniature weather station (4), the signal I/O end of heavily loaded digital The Cloud Terrace (1) and the bridge of communicating by letter (6) are distinguished and correspondingly are communicated with the signal output/input end of video processing equipment (5); Described command and control center comprises remote monitoring computing machine (7), communication bridge (8); The signal I/O end of communication bridge (8) is corresponding respectively to be communicated with communication bridge (6) and the bridge of communicating by letter (8) diconnected with the signal output/input end of remote monitoring computing machine (7).
2. a kind of forest fire detection system according to claim 1 is characterized in that: also be provided with infrared fixed focus lens (9) on the described thermal infrared imager (2).
3. a kind of forest fire detection system according to claim 1 is characterized in that: also be provided with focal length, focusing, the controlled visible light camera lens (10) of aperture on the described visible light camera (3).
4. a kind of forest fire detection system according to claim 1 is characterized in that: also be provided with protective cover on the digital The Cloud Terrace of described heavy duty (1).
5. a kind of forest fire detection system according to claim 1 is characterized in that: comprise CPU (central processing unit), video acquisition compression module, weather information collection compression module, cradle head control module, numerical information passback module, numerical information receiver module in the described embedded video treatment facility (5); The remote monitoring computing machine is provided with fire monitoring software and Geographic Information System in (7).
CN2009202193304U 2009-09-30 2009-09-30 Forest fire detecting system CN201629019U (en)

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Cited By (17)

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Publication number Priority date Publication date Assignee Title
CN102881109A (en) * 2012-02-28 2013-01-16 北京华拓信通科技股份有限公司 Forest fire early-warning system based on non-refrigerant infrared temperature detector
CN102891981A (en) * 2011-07-19 2013-01-23 周威宇 Wireless microwave remote video monitoring transmission system
CN103247132A (en) * 2013-05-24 2013-08-14 成都市晶林科技有限公司 Monitor terminal with field environment testing function for forest-fire prevention
CN103247139A (en) * 2013-05-24 2013-08-14 成都市晶林科技有限公司 All-weather monitoring system for forest fire prevention
CN103366489A (en) * 2013-07-12 2013-10-23 龙岩市方圆经济技术开发有限公司 Monitoring control cabinet for forest fire prevention system
CN103942911A (en) * 2014-03-17 2014-07-23 石杰 System and method for detecting forest fires based on cloud computing
CN103971114A (en) * 2014-04-23 2014-08-06 天津航天中为数据系统科技有限公司 Forest fire detection method based on aerial remote sensing
CN104036611A (en) * 2014-06-24 2014-09-10 北京中恩时代科技有限责任公司 Fire detecting alarm method and detecting alarm apparatus implementing same
CN104112326A (en) * 2014-07-17 2014-10-22 桂林市思奇通信设备有限公司 Front-end recognizing and wireless transmission system and method for forest fire prevention
CN104599426A (en) * 2013-11-01 2015-05-06 航天海鹰安全技术工程有限公司 Forest fire prevention embedded control system
CN104966372A (en) * 2015-06-09 2015-10-07 四川汇源光通信有限公司 Multi-data fusion forest fire intelligent recognition system and method
CN105488941A (en) * 2016-01-15 2016-04-13 中林信达(北京)科技信息有限责任公司 Double-spectrum forest fire disaster monitoring method and double-spectrum forest fire disaster monitoring device based on infrared-visible light image
CN106157518A (en) * 2015-03-24 2016-11-23 青岛浩海网络科技股份有限公司 A kind of forest fire protection far infrared anti-false-alarm system and method
CN106485868A (en) * 2015-08-27 2017-03-08 杭州海康威视数字技术股份有限公司 The monitoring server of the monitoring method of the condition of a fire, system and the condition of a fire
CN106504464A (en) * 2016-11-04 2017-03-15 哈尔滨理工大学 Forest fire protection monitoring system and information fusion method based on infrared thermal imaging
CN107808486A (en) * 2017-12-05 2018-03-16 长沙瑞晓知识产权服务有限公司 A kind of remote control cradle head mechanism
CN108205862A (en) * 2017-12-11 2018-06-26 厦门亿力吉奥信息科技有限公司 Transmission line forest fire guard system

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CN102891981A (en) * 2011-07-19 2013-01-23 周威宇 Wireless microwave remote video monitoring transmission system
CN102891981B (en) * 2011-07-19 2015-06-17 周威宇 Wireless microwave remote video monitoring transmission system
CN102881109B (en) * 2012-02-28 2014-12-24 北京华拓信通科技股份有限公司 Forest fire early-warning system based on non-refrigerant infrared temperature detector
CN102881109A (en) * 2012-02-28 2013-01-16 北京华拓信通科技股份有限公司 Forest fire early-warning system based on non-refrigerant infrared temperature detector
CN103247132A (en) * 2013-05-24 2013-08-14 成都市晶林科技有限公司 Monitor terminal with field environment testing function for forest-fire prevention
CN103247139A (en) * 2013-05-24 2013-08-14 成都市晶林科技有限公司 All-weather monitoring system for forest fire prevention
CN103366489A (en) * 2013-07-12 2013-10-23 龙岩市方圆经济技术开发有限公司 Monitoring control cabinet for forest fire prevention system
CN104599426A (en) * 2013-11-01 2015-05-06 航天海鹰安全技术工程有限公司 Forest fire prevention embedded control system
CN103942911A (en) * 2014-03-17 2014-07-23 石杰 System and method for detecting forest fires based on cloud computing
CN103971114A (en) * 2014-04-23 2014-08-06 天津航天中为数据系统科技有限公司 Forest fire detection method based on aerial remote sensing
CN103971114B (en) * 2014-04-23 2018-03-23 天津航天中为数据系统科技有限公司 Forest fire detection method based on air remote sensing
CN104036611A (en) * 2014-06-24 2014-09-10 北京中恩时代科技有限责任公司 Fire detecting alarm method and detecting alarm apparatus implementing same
CN104112326A (en) * 2014-07-17 2014-10-22 桂林市思奇通信设备有限公司 Front-end recognizing and wireless transmission system and method for forest fire prevention
CN106157518A (en) * 2015-03-24 2016-11-23 青岛浩海网络科技股份有限公司 A kind of forest fire protection far infrared anti-false-alarm system and method
CN104966372A (en) * 2015-06-09 2015-10-07 四川汇源光通信有限公司 Multi-data fusion forest fire intelligent recognition system and method
CN106485868A (en) * 2015-08-27 2017-03-08 杭州海康威视数字技术股份有限公司 The monitoring server of the monitoring method of the condition of a fire, system and the condition of a fire
CN106485868B (en) * 2015-08-27 2019-07-16 杭州海康威视数字技术股份有限公司 Monitoring method, the monitoring server of system and fire behavior of fire behavior
CN105488941B (en) * 2016-01-15 2018-10-30 中林信达(北京)科技信息有限责任公司 Double spectrum fire monitoring method and devices based on Infrared-Visible image
CN105488941A (en) * 2016-01-15 2016-04-13 中林信达(北京)科技信息有限责任公司 Double-spectrum forest fire disaster monitoring method and double-spectrum forest fire disaster monitoring device based on infrared-visible light image
CN106504464A (en) * 2016-11-04 2017-03-15 哈尔滨理工大学 Forest fire protection monitoring system and information fusion method based on infrared thermal imaging
CN107808486A (en) * 2017-12-05 2018-03-16 长沙瑞晓知识产权服务有限公司 A kind of remote control cradle head mechanism
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